862939
49%
51%
Nov 21,'25
Donor density by zipcode using combined donors counts from Mar’25 and Aug’25 are mapped.
Percentage of diabetic, prediabetic, and normoglycemic donors by age-group are shown in this barplot.
For every age-group, a higher percentage of black and hispanic donors are diabetic than other races.
Boxplots for A1c% by age-group are compared between female and male donors.
Median values are labeled for each.
For each age-group, males have higher median value than females.
Boxplots for A1c% by age-group are compared between asian, black, hispanic, and white donors.
Median values are labeled for each.
For each age-group, black donors have higher median value than others.
US weighted estimates for diabetes and prediabetes, determined from NHANES 2021-2023 A1c lab data, is compared with the subset of Red Cross donor population.
For any age group, the percentage of diabetics or prediabetics is higher in the overall US estimated prevalence.
Circles represent individual zipcodes
Zipcodes are colored by their percentage of diabetic donors.
Clicking on a circle shows the related information for the specific zipcode
Use the mouse scroll button to zoom in or out Use “Donors/zipcode” filter to select zipcodes with a minimum/maximum donor count Use “Diabetic%” filter to select zipcodes with specific cut-off percentages of diabetic donors
Characteristic | normal | prediabetes | diabetes |
|---|---|---|---|
gender, n (%) | |||
F | 351,873 (83%) | 58,144 (14%) | 12,745 (3.0%) |
M | 331,933 (75%) | 81,142 (18%) | 27,102 (6.2%) |
race/ethnicity, n (%) | |||
Hispanic Origin | 36,533 (82%) | 6,255 (14%) | 1,961 (4.4%) |
NH Asian/other | 44,376 (78%) | 9,860 (17%) | 2,665 (4.7%) |
NH Black | 21,964 (67%) | 8,490 (26%) | 2,445 (7.4%) |
NH White | 580,933 (80%) | 114,681 (16%) | 32,776 (4.5%) |
age, Median (Q1, Q3) | 49 (33, 63) | 64 (55, 70) | 64 (55, 71) |
age group, n (%) | |||
-29 | 140,301 (97%) | 3,558 (2.5%) | 764 (0.5%) |
30-54 | 265,317 (87%) | 30,818 (10%) | 8,389 (2.8%) |
55- | 278,188 (67%) | 104,910 (25%) | 30,694 (7.4%) |
median household income, Median (Q1, Q3) | 58,376 (46,110, 76,021) | 56,313 (45,415, 72,737) | 54,048 (44,012, 69,214) |
Donor characteristics | Mar'25, N=3761451 | Aug'25, N=3007151 | Nov'25, N=1860791 |
|---|---|---|---|
A1c% | 5.30 (5.10, 5.50) | 5.40 (5.20, 5.60) | 5.30 (5.10, 5.60) |
Glycemia | |||
normal | 307,522 (82%) | 227,016 (75%) | 149,268 (80%) |
prediabetes | 51,731 (14%) | 58,291 (19%) | 29,264 (16%) |
diabetes | 16,892 (4.5%) | 15,408 (5.1%) | 7,547 (4.1%) |
gender | |||
F | 182,688 (49%) | 146,873 (49%) | 93,201 (50%) |
M | 193,457 (51%) | 153,842 (51%) | 92,878 (50%) |
Race | |||
Hispanic Origin | 18,888 (5.0%) | 14,320 (4.8%) | 11,541 (6.2%) |
NH Asian/other | 22,531 (6.0%) | 20,094 (6.7%) | 14,276 (7.7%) |
NH Black | 13,734 (3.7%) | 10,428 (3.5%) | 8,737 (4.7%) |
NH White | 320,992 (85%) | 255,873 (85%) | 151,525 (81%) |
Age | 54 (37, 66) | 55 (41, 66) | 48 (30, 63) |
Age Group | |||
-29 | 65,258 (17%) | 33,573 (11%) | 45,792 (25%) |
30-54 | 126,467 (34%) | 112,203 (37%) | 65,854 (35%) |
55- | 184,420 (49%) | 154,939 (52%) | 74,433 (40%) |
First-Time Donor | 49,867 (13%) | 35,125 (12%) | 39,509 (21%) |
BMI group | |||
70,856 (19%) | 50,393 (17%) | 21,611 (12%) | |
morbid obestiy | 35,306 (9.4%) | 30,470 (10%) | 18,607 (10.0%) |
normal | 92,564 (25%) | 70,165 (23%) | 52,635 (28%) |
obese | 61,747 (16%) | 52,496 (17%) | 31,895 (17%) |
overweight | 114,913 (31%) | 96,772 (32%) | 60,846 (33%) |
underweight | 758 (0.2%) | 416 (0.1%) | 483 (0.3%) |
BMI | 27.4 (24.2, 31.2) | 27.5 (24.4, 31.5) | 27.2 (24.0, 31.0) |
1Median (Q1, Q3); n (%) | |||
| Characteristic |
Mar’25
|
Aug’25
|
Nov’25
|
||||||
|---|---|---|---|---|---|---|---|---|---|
| normal N = 307,5221 |
prediabetes N = 51,7311 |
diabetes N = 16,8921 |
normal N = 227,0161 |
prediabetes N = 58,2911 |
diabetes N = 15,4081 |
normal N = 149,2681 |
prediabetes N = 29,2641 |
diabetes N = 7,5471 |
|
| A1c% | 5.20 (5.00, 5.40) | 5.80 (5.70, 6.00) | 7.10 (6.70, 7.90) | 5.30 (5.10, 5.40) | 5.80 (5.70, 6.00) | 7.10 (6.70, 7.80) | 5.20 (5.10, 5.40) | 5.80 (5.70, 6.00) | 7.10 (6.70, 7.90) |
| Gender | |||||||||
| F | 156,262 (86%) | 21,154 (12%) | 5,272 (2.9%) | 117,304 (80%) | 24,524 (17%) | 5,045 (3.4%) | 78,307 (84%) | 12,466 (13%) | 2,428 (2.6%) |
| M | 151,260 (78%) | 30,577 (16%) | 11,620 (6.0%) | 109,712 (71%) | 33,767 (22%) | 10,363 (6.7%) | 70,961 (76%) | 16,798 (18%) | 5,119 (5.5%) |
| Race | |||||||||
| Hispanic Origin | 15,797 (84%) | 2,311 (12%) | 780 (4.1%) | 11,087 (77%) | 2,451 (17%) | 782 (5.5%) | 9,649 (84%) | 1,493 (13%) | 399 (3.5%) |
| NH Asian/other | 18,131 (80%) | 3,415 (15%) | 985 (4.4%) | 14,837 (74%) | 4,149 (21%) | 1,108 (5.5%) | 11,408 (80%) | 2,296 (16%) | 572 (4.0%) |
| NH Black | 9,597 (70%) | 3,159 (23%) | 978 (7.1%) | 6,019 (58%) | 3,422 (33%) | 987 (9.5%) | 6,348 (73%) | 1,909 (22%) | 480 (5.5%) |
| NH White | 263,997 (82%) | 42,846 (13%) | 14,149 (4.4%) | 195,073 (76%) | 48,269 (19%) | 12,531 (4.9%) | 121,863 (80%) | 23,566 (16%) | 6,096 (4.0%) |
| Age | 50 (34, 64) | 64 (56, 71) | 64 (56, 71) | 51 (37, 64) | 64 (55, 70) | 64 (56, 71) | 44 (25, 59) | 62 (52, 69) | 63 (54, 70) |
| Age Group | |||||||||
| -29 | 63,844 (98%) | 1,071 (1.6%) | 343 (0.5%) | 32,204 (96%) | 1,162 (3.5%) | 207 (0.6%) | 44,253 (97%) | 1,325 (2.9%) | 214 (0.5%) |
| 30-54 | 112,880 (89%) | 10,268 (8.1%) | 3,319 (2.6%) | 95,901 (85%) | 13,035 (12%) | 3,267 (2.9%) | 56,536 (86%) | 7,515 (11%) | 1,803 (2.7%) |
| 55- | 130,798 (71%) | 40,392 (22%) | 13,230 (7.2%) | 98,911 (64%) | 44,094 (28%) | 11,934 (7.7%) | 48,479 (65%) | 20,424 (27%) | 5,530 (7.4%) |
| First-Time Donor | 45,761 (92%) | 2,992 (6.0%) | 1,114 (2.2%) | 29,319 (83%) | 4,485 (13%) | 1,321 (3.8%) | 35,765 (91%) | 2,932 (7.4%) | 812 (2.1%) |
| BMI group | |||||||||
| 55,579 (78%) | 11,258 (16%) | 4,019 (5.7%) | 36,582 (73%) | 10,683 (21%) | 3,128 (6.2%) | 16,505 (76%) | 3,912 (18%) | 1,194 (5.5%) | |
| morbid obestiy | 23,597 (67%) | 8,291 (23%) | 3,418 (9.7%) | 18,119 (59%) | 9,104 (30%) | 3,247 (11%) | 11,977 (64%) | 4,884 (26%) | 1,746 (9.4%) |
| normal | 85,955 (93%) | 5,483 (5.9%) | 1,126 (1.2%) | 61,514 (88%) | 7,507 (11%) | 1,144 (1.6%) | 48,041 (91%) | 3,966 (7.5%) | 628 (1.2%) |
| obese | 45,864 (74%) | 11,665 (19%) | 4,218 (6.8%) | 35,507 (68%) | 13,093 (25%) | 3,896 (7.4%) | 22,991 (72%) | 6,970 (22%) | 1,934 (6.1%) |
| overweight | 95,803 (83%) | 15,006 (13%) | 4,104 (3.6%) | 74,913 (77%) | 17,870 (18%) | 3,989 (4.1%) | 49,288 (81%) | 9,515 (16%) | 2,043 (3.4%) |
| underweight | 723 (95%) | 28 (3.7%) | 7 (0.9%) | 379 (91%) | 33 (7.9%) | 4 (1.0%) | 464 (96%) | 17 (3.5%) | 2 (0.4%) |
| BMI | 26.6 (23.7, 30.4) | 29.9 (26.6, 33.9) | 31.2 (27.8, 35.3) | 27.0 (24.0, 30.5) | 29.5 (26.4, 33.5) | 31.0 (27.6, 35.3) | 26.6 (23.6, 30.2) | 29.5 (26.4, 33.5) | 31.0 (27.8, 35.4) |
| 1 Median (Q1, Q3); n (%) | |||||||||